Best accuracy for different feature-extraction and classification methods.
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https://figshare.com/articles/dataset/_Best_accuracy_for_different_feature_extraction_and_classification_methods_/1065293
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资源简介：
Since there are four classes of imagery movements, the chance level is 25.
AAR: adaptive autoregressive; MDA: minimum distance analysis; CAR: common average reference; CSP: common spatial pattern; NN: neural network; SVM: support vector machine; WPD: wavelet packet decomposition; ME: mixture of experts; PLV: phase-locking value; PCA: principal component analysis; STFT: short-time Fourier transform.
创建时间：
2014-06-20
